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Enterpret is a comprehensive platform designed to unify and analyze customer feedback from various sources, providing a centralized repository for insights. It integrates with multiple applications, allowing users to connect and manage feedback data efficiently. The platform enhances query performance by generating sharper subqueries and handling keywords more effectively, ensuring more accurate results.

Key features of Enterpret include its Taxonomy Estimator, which improves label processing reliability and provides accurate time estimates for updates. Additionally, it supports seamless authentication through SAML Single Sign-On (SSO), enhancing security and user experience. The platform also offers optimized feedback collection, reducing processing times significantly and ensuring faster access to insights.

Enterpret further integrates with tools like Sprig to ingest survey feedback, transforming it into actionable insights. It also includes features such as enhanced Twitter record metadata, metric widgets for dashboards, and a feedback widget to centralize customer insights. Overall, Enterpret helps organizations streamline feedback management, improve data analysis, and make informed decisions based on unified customer insights.

Enterpret is a platform that automatically aggregates user feedback from various sources such as support requests, app store reviews, NPS surveys, social media comments, etc., and analyzes it using NLP to quantify all of your qualitative feedback. Enterpret helps product and customer teams turn customer feedback into product growth and revenue by centralizing and analyzing customer feedback at scale using machine learning technology. Its advantage is that its adaptive AI models are tailored to each customer's feedback architecture, helping deliver precise, relevant, and granular insights. Enterpret is the only product building custom natural language processing models for each customer, which helps unify all customer feedback from every channel across all teams (surveys, support, social, sales, and more). Its machine learning models then automatically tag, categorize, and uncover customer insights that help product organizations build more strategically with the insights they need to drive revenue. It is solving complex problems in API design, analytics UI/UX, and natural language processing, pushing the envelope of what's possible by applying first principle thinking.

Categories:

Business

Feedback Analytics Software

Website: enterpret.com

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Enterpret

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